Summary of A Gradient Analysis Framework For Rewarding Good and Penalizing Bad Examples in Language Models, by Yi-lin Tuan et al.
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Modelsby Yi-Lin…
Summary of Generative Ai in Ship Design, by Sahil Thakur et al.
Generative AI in Ship Designby Sahil Thakur, Navneet V Saxena, Prof Sitikantha RoyFirst submitted to…
Summary of The Star Geometry Of Critic-based Regularizer Learning, by Oscar Leong and Eliza O’reilly and Yong Sheng Soh
The Star Geometry of Critic-Based Regularizer Learningby Oscar Leong, Eliza O'Reilly, Yong Sheng SohFirst submitted…
Summary of Adaptive Variational Continual Learning Via Task-heuristic Modelling, by Fan Yang
Adaptive Variational Continual Learning via Task-Heuristic Modellingby Fan YangFirst submitted to arxiv on: 29 Aug…
Summary of Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning, by Boyu Chen et al.
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learningby Boyu Chen, Junjie Liu,…
Summary of High-dimensional Sparse Data Low-rank Representation Via Accelerated Asynchronous Parallel Stochastic Gradient Descent, by Qicong Hu and Hao Wu
High-Dimensional Sparse Data Low-rank Representation via Accelerated Asynchronous Parallel Stochastic Gradient Descentby Qicong Hu, Hao…
Summary of Gl-tsvm: a Robust and Smooth Twin Support Vector Machine with Guardian Loss Function, by Mushir Akhtar et al.
GL-TSVM: A robust and smooth twin support vector machine with guardian loss functionby Mushir Akhtar,…
Summary of Illuminating the Diversity-fitness Trade-off in Black-box Optimization, by Maria Laura Santoni et al.
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimizationby Maria Laura Santoni, Elena Raponi, Aneta Neumann, Frank…
Summary of A Comparative Study Of Hyperparameter Tuning Methods, by Subhasis Dasgupta et al.
A Comparative Study of Hyperparameter Tuning Methodsby Subhasis Dasgupta, Jaydip SenFirst submitted to arxiv on:…
Summary of Thinner Latent Spaces: Detecting Dimension and Imposing Invariance Through Autoencoder Gradient Constraints, by George A. Kevrekidis et al.
Thinner Latent Spaces: Detecting dimension and imposing invariance through autoencoder gradient constraintsby George A. Kevrekidis,…